Digital tomosynthesis is a novel imaging technology to provide three-dimensional reconstruction with fast image acquisition.
Tomosynthesis imaging configuration optimization is essential to improve image quality with limited dosage. Currently, both
parallel imaging and partial isocentric imaging configurations exist in breast tomosynthesis imaging field. With the development
of carbon nanotube based multi-beam X-ray sources by scientists Zhou et al., it is possible to distribute X-ray sources with various
spatial configurations. To investigate the effects of flexible beam distributions, tomosynthesis datasets of several spatial distributions
including parallel imaging and rectangular imaging were simulated. Iterative reconstruction algorithms were developed to reconstruct
the simulated objects. Preliminary results showed that two dimensional rectangular configurations outperformed parallel alignment by
providing better depth resolution, enhanced image contrast, and reduced out-of-plane artifacts.
Ying Chen is an Associate Professor in the department of electrical and computer engineering and Biomedical engineering graduate program
at Southern Illinois University Carbondale. Her research interests include medical imaging, image reconstruction, digital tomosynthesis, image
processing and image quality analysis.
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